With the introduction of IEEE 802.11 power save mode (PSM), a lot of work has been done to enhance the energy saving ability of the wireless nodes. The ultimate goal of the research is to make the networking equipment carbon neutral and prolong the lifetime of the energy limited device for various applications; in some cases it is a trade-off between energy efficiency and delay. However, few studies have been made until now in the area of IEEE 802.11s based link specific power mode. The essence of this method is the ability of a node to maintain different power modes with its different peer nodes at the same time. A new peer service period (PSP) mechanism is also proposed in IEEE 802.11s amendment for transmitting to a receiver operating in PSM. In this paper the performance of the link specific power mode is studied for a single- and a multilink network in terms of energy, delay throughput, and sleep duration. It is found that at small load the energy saving could be as high as eighty percent when compared with the active mode operation. A stochastic model, based on discrete time discrete state Markov chain, is developed for one peer link operation to study the system behavior closely during PSM operation. 1. Introduction From the last decade, the deployment of mobile wireless devices has been rising by leaps and bounds in varieties of applications, such as in data access purpose, in wireless automation and control, making Voice over Internet Protocol (VoIP) calls, and in other QoS sensitive applications. However, these mobile devices are battery powered and have limited amount of operational time. As the batteries are limited resource of energy, devising an efficient energy saving protocol is now a critical issue for battery-constrained wireless devices. Generally, a significant amount of energy of a wireless node is dissipated in wireless radios. During normal operation a radio typically undergoes the following three states: transmitting, receiving, and idle state. The transmitting state consumes the highest amount of energy since the major portion of the energy is dissipated in power amplifier. In the idle state the radio obtains transmission opportunities (TXOPs) and is capable to start receiving the transmissions. The idle state consumes a little bit less energy than receiving state but in the long run this state contributes a significant portion of the total energy consumption. Therefore in PSM, the node avoids unnecessary operation in idle state and when a node neither receives nor transmits it switches to the sleep state. The sleep state
References
[1]
C. M. Chao, J. P. Sheu, and I. C. Chou, “An adaptive quorum-based energy conserving protocol for IEEE 802.11 ad hoc networks,” IEEE Transactions on Mobile Computing, vol. 5, no. 5, pp. 560–570, 2006.
[2]
“Wireless LAN medium access control (MAC) and physical layer (PHY) specification,” ANSI/IEEE Std 802.11, 1999.
[3]
X. Pérez-Costa and D. Camps-Mur, “AU-APSD: adaptive IEEE 802.11e unscheduled automatic power save delivery,” in Proceedings of the IEEE International Conference on Communications, (ICC '06), pp. 2020–2027, Istanbul, Turkey, July 2006.
[4]
V. Namboodiri and L. Gao, “Energy-efficient voip over wireless LANs,” IEEE Transactions on Mobile Computing, vol. 9, no. 4, pp. 566–581, 2010.
[5]
Y. H. Zhu and V. C. M. Leung, “Efficient power management for infrastructure IEEE 802.11 WLANs,” IEEE Transactions on Wireless Communications, vol. 9, no. 7, pp. 2196–2205, 2010.
[6]
“Wireless LAN ,medium access control (MAC) and physical layer (PHY) specification,” Amendment 10:Mesh Networking IEEE P802.11s/D3.0, 2009.
[7]
R. Krashinsky and H. Balakrishnan, “Minimizing energy for wireless web access with bounded slowdown,” in Proceedings of the 8th Annual International Conference on Mobile Computing and Networking, pp. 119–130, Atlanta, GA, USA, September 2002.
[8]
H. Yan, S. A. Watterson, D. K. Lowenthal, K. Li, R. Krishnan, and L. L. Peterson, “Client-centered, energy-efficient wireless communication on IEEE 802.11b networks,” IEEE Transactions on Mobile Computing, vol. 5, no. 11, pp. 1575–1590, 2006.
[9]
H. Zhu and G. Cao, “On supporting power-efficient streaming applications in wireless environments,” IEEE Transactions on Mobile Computing, vol. 4, no. 4, pp. 391–403, 2005.
[10]
C. H. Gan and Y. B. Lin, “An effective power conservation scheme for IEEE 802.11 wireless networks,” IEEE Transactions on Vehicular Technology, vol. 58, no. 4, pp. 1920–1929, 2009.
[11]
H. Lei and A. A. Nilsson, “Queuing analysis of power management in the IEEE 802.11 based wireless LANs,” IEEE Transactions on Wireless Communications, vol. 6, no. 4, pp. 1286–1294, 2007.
[12]
S. Baek and D. C. Bong, “Performance analysis of power save mode in IEEE 802.11 infrastructure WLAN,” in Proceedings of the International Conference on Telecommunications, (ICT '08), pp. 1–4, Petersburg, Russia, June 2008.
[13]
H. Memarzadeh, M. Dehghan, and S. Jabbehdari, “A new quorum-based power saving protocol to maintain QoS for MANETs with burst traffics,” in Proceedings of the 24th IEEE International Conference on Advanced Information Networking and Applications Workshops, (WAINA '10), pp. 674–679, Perth, Australia, April 2010.
[14]
J. Lee and S. Kim, “Mathematical system modeling and dynamic resource allocation through Kalman filter based prediction in IEEE 802.11 PSM,” in Proceedings of the IEEE International Conference on Industrial Technology, (ICIT '09), Gippsland, VIC, Australia, February 2009.
[15]
A. Bhardwaj, Divya, and S. Sofat, “An efficient energy conserving scheme for IEEE 802.11 ADHOC networks,” in Proceedings of the 4th IEEE and IFIP International Conference on Wireless and Optical Communications Networks, (WOCN '07), pp. 1–5, Singapore, July 2007.
[16]
Q. Chen, F. Schmidt-Eisenlohr, D. Jiang, M. Torrent-Moreno, L. Delgrossi, and H. Hartenstein, “Overhaul of IEEE 802.11 modeling and simulation in NS-2,” in Proceedings of the 10th ACM Symposium on Modeling, Analysis, and Simulation of Wireless and Mobile Systems, pp. 159–168, New York, NY, USA, October 2007.
N. Li, Y. Xu, and S. L. Xie, “A power-saving protocol for Ad hoc networks,” in Proceedings of the International Conference on Wireless Communications, Networking and Mobile Computing, (WCNM '05), pp. 808–811, China, September 2005.
